Intaker vs Lawmatics: how they compare in 2026

A scripted chat and CRM product with AI capability layered across it, and the product's own architecture states the position. The chat runs on more than 1,400 custom prompts and pre built scripts for different practice areas, which is authored conversational content rather than generated conversation, and the surrounding platform is lead management, texting, follow up sequences, virtual inbox workflows and reporting, all of which are deterministic automation. Stated AI capabilities are real and specific rather than decorative, covering natural language processing, language detection and automated responses, and the vendor and independent directories both describe the intake automation as AI driven, so the bar is comfortably cleared. Graded C because removing the models leaves a working scripted chat widget, CRM and follow up engine, which is most of what a firm buys, and because prompt libraries are the opposite architecture from the adaptive generation that earned Perspective AI an A in this category. Five of six records in this category now sit at C on this axis.

A CRM and marketing automation platform with AI sold as a metered add on, and the commercial structure states the centrality plainly. Lawmatics was founded in 2017 and its core is intake forms, pipeline management, drip campaigns, document generation, scheduling, conflict checking and attribution reporting, all of which are deterministic workflow automation that predates generative AI and functions without it. QualifyAI is the model layer and it is not bundled: independent review states it is an add on with separately priced credit bundles, available on higher tiers and unavailable on the entry plan. A capability a customer can decline, and that most customers on lower tiers do not have, is by definition not what the platform is. Graded C, the same placement as LawDroid, Gideon and Smith.ai, and the category is now four for four at C on this axis: these are automation platforms with models added rather than models with interfaces built around them.

Nothing published, with the note recording that the scripted architecture materially reduces what this axis is testing for. A chat running on 1,400 authored prompts generates less free text than an adaptive conversational agent, so the classic hallucination exposure is smaller than on Perspective AI or LawDroid, and that is a design property rather than a disclosure. What remains unaddressed is everything the AI layer does: no accuracy figure for language detection, automated response selection or qualification, no error rate, no evaluation, and no statement of what happens when a prospective client's message does not match any authored prompt, which is the case where a scripted system either falls back gracefully or answers wrongly. Nothing published describes either behaviour. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.

Nothing published, and the axis applies to the scoring model rather than to generated text. QualifyAI produces a score and a qualification decision rather than prose, so there is no citation to ground, but there is a quantitative output whose accuracy is testable in principle: it is stated to score inquiries on case fit and conversion likelihood, and whether those scores predict actual outcomes is measurable against the firm's own conversion data, which the platform already holds through its attribution reporting. No accuracy figure, no calibration statement, no precision or recall on qualification, no false negative rate and no evaluation were located. The vendor has the outcome data to validate its own model and publishes nothing from it. Checked the product material, the pricing material, the QualifyAI descriptions and independent review on 29 Aug 2026.

Two published mechanisms put a human in the conversation rather than after it, and one of them is unique on this index. Live Call Connect with a click to call widget converts a chat lead into a real time phone transfer to the firm, which is escalation from machine to human inside the same interaction rather than a handoff of a record afterwards, and it is the strongest such mechanism in this category because the prospective client speaks to a person while still engaged. The video component reinforces it in a different direction: an attorney records intro and outro videos that play in chat, so a named human is visibly present in an automated conversation and the prospective client is not left uncertain whether anyone is behind it. Held at B because nothing is bounded: no statement of what triggers a call connect or whether it is caller initiated only, no threshold on qualification, no description of what the chat does unattended outside business hours when no one can accept a transfer, and no override or review path for a qualification decision.

The oversight model is commercial rather than published, and it is real for that reason. QualifyAI is an opt in paid add on metered by credits, so a firm decides whether automated qualification runs at all and, through credit consumption, how much of it runs, which is a genuine customer control over autonomy even though the vendor does not frame it as one. The stated function also positions output as advisory rather than dispositive: scores surface high value leads for attorney follow up, which is prioritisation of a human's attention rather than a decision made in place of one. Held at C because nothing is published about the mechanics. Independent review describes QualifyAI as routing leads accordingly and filtering noise, and filtering is not surfacing: nothing states whether a low scoring inquiry is deprioritised, hidden, auto responded to or discarded, and no threshold, override or review path is described. A firm cannot tell from public material what happens to the leads the model rejects.

Independent listings and verified reviews exist in small numbers, and no customer or outcome figure does. Verifiable without the vendor: listings across several independent software directories with provider data stated as verified by their research teams and reviews moderated for authenticity, a directory listing on a named legal technology publication, a published starting price, and a corporate entity, Intaker, Inc. Customer testimonials appear in directory listings and are attributed to roles rather than named firms, and the volume is thin, with one major platform showing three user reviews. Against that: no law firm is named anywhere in vendor material, no case study, no usage figure, no funding announcement and no outcome claim with a figure were located. Held at C rather than D because the independent directory presence with verified review moderation is external evidence the product exists and is used, which is more than the wholly self authored evidence base that put Perspective AI at D in this category, and below B because nothing establishes scale or result.

An unusually deep independent review base and no vendor customer evidence. At least six independent review and comparison publications assess this product in detail, several with dated 2026 coverage, and they converge on consistent findings including the three user minimum, annual contracts, the add on structure of QualifyAI and Time and Billing, and the competitive position against Clio Grow. One independent assessment describes QualifyAI as genuinely useful for filtering noisy inquiries, which is a functional judgement from a reviewer rather than a vendor claim. Company facts are checkable: founded 2017, a cofounder who previously founded MyCase, which is a verifiable industry lineage. Against that, no law firm customer is named in any located material, no case study, no usage figure and no outcome claim with a figure were found, which is a conspicuous omission for a platform whose defining feature is attribution reporting that measures exactly which marketing produces signed clients. The vendor sells conversion measurement and publishes none of its own.

Nothing located. No confidentiality statement, no encryption reference, no data handling description and no treatment of privilege or prospective client confidences was found. The product's own design raises the question more sharply than a text chat would: two way business texting means prospective client communications travel by SMS, which is an unencrypted channel outside the firm's control, and the platform centralises those communications alongside chat transcripts and lead records in a vendor held CRM. Nothing published addresses the confidentiality of any of it, and nothing distinguishes the status of a chat transcript from a prospective client who never becomes a client. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.

Nothing located. No confidentiality statement, no encryption reference, no data handling description and no treatment of privilege or prospective client confidences was found. One product feature makes the omission stand out rather than blend in: advanced conflict checking is offered on the Premium tier, which means the vendor has built a feature addressing one professional obligation attaching to intake data while saying nothing about the confidentiality obligation attaching to the same data. A conflict check requires holding and comparing prospective client information across a firm's whole contact base, which is precisely the material whose handling is unaddressed. Checked the product material, the pricing material, the feature descriptions and independent review on 29 Aug 2026.

Not located. The chat qualifies prospective clients against matter specific criteria using more than 1,400 authored prompts across practice areas, which means the system conducts a substantive exchange about a person's legal problem and reaches a qualification outcome before any lawyer is involved. Nothing published states that the chat does not provide legal advice, describes what the automated responses may say when a prospective client asks a substantive question, or discloses to the person whether they are talking to software or a human, which is a live question on this product specifically because the video component presents a named attorney inside an automated conversation. Nothing engages any bar guidance. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.

Not located. The platform conducts automated intake conversations through forms and drip sequences, and QualifyAI assesses whether an inquiry fits a firm's practice area, case value and geography criteria, which is a determination about whether a person's legal problem is one this firm will take. Nothing published states that automated communications or scoring output are not legal advice, addresses what an automated follow up sequence may say to a prospective client, or engages any professional conduct framework. Distinguished from the chatbot records in this category: no conversational agent answers substantive questions here, so the UPL exposure is narrower and arises from automated communication and qualification rather than from advice delivery. It is unaddressed either way. Checked the product material, the QualifyAI descriptions, the pricing material and independent review on 29 Aug 2026.

Nothing published about how the models are governed, evaluated or monitored. No AI policy, no model card, no bias or fairness testing, no evaluation methodology, no accuracy monitoring, no drift statement, no named governance body, no ISO 42001 and no EU AI Act positioning were located. The qualification concern recorded across this category applies here in its scripted form: the chat pre qualifies leads on autopilot, so it decides which inquiries reach a firm, and nothing indicates whether qualification outcomes have been examined across respondent populations. Language detection is a stated capability and is worth naming specifically, because language detection systems perform unevenly and a misdetection at first contact affects whether a non English speaking prospective client can proceed at all, and no evaluation of it is published. Fifth of six records in this category with no fairness evaluation on a system that filters prospective clients.

Nothing published, and this is the third record in four in this category scoring prospective clients with no fairness evaluation. QualifyAI scores inquiries on case fit and conversion likelihood using intake form responses and prior engagement signals. Two of the stated criteria warrant naming precisely: geography and case value. Geography as a scoring input in legal intake correlates with everything geography correlates with, and case value scoring directs attorney attention toward inquiries expected to be worth more, which in the named strong fit practice areas of personal injury, family law, criminal defence and immigration means the people scored low are disproportionately those with less at stake and fewer alternatives. No AI policy, model card, bias or fairness testing, evaluation methodology, accuracy monitoring, drift statement, governance body, ISO 42001 or EU AI Act positioning was located. Same pattern as Gideon and Smith.ai and with the scoring criteria stated more explicitly here than on either.

No stewardship position located. Nothing states whether chat transcripts, text message threads, lead records or qualification outcomes are used to train or improve models, no retention period is published, and no deletion right is described. The platform is a CRM as well as a chat widget, so it holds a firm's prospective client base durably by design, and two way texting adds a communications archive on top of it. Nothing published addresses any of that, and no privacy policy or data processing statement was located in the material read. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.

No stewardship position located. Nothing states whether intake form responses, engagement signals, contact records or conversion outcomes are used to train or improve QualifyAI, no retention period is published, and no deletion right is described. The architecture makes the training question specific rather than generic: QualifyAI is stated to score on conversion likelihood using prior engagement signals, which means it learns from outcomes, and nothing published states whether that learning is scoped to the individual firm or pooled across the vendor's customer base. A model improved by one firm's conversion history and served to competing firms in the same practice area and geography is a materially different product from one that learns only within a tenant, and a firm cannot tell which it is buying. Checked the product material, the QualifyAI descriptions, the pricing material and independent review on 29 Aug 2026.

No published position located on liability for AI output, warranty, service levels or remedy. The exposures follow the category pattern with one addition specific to this product: automated follow up sequences send personalised email and text reminders to leads on the firm's behalf, so the vendor's system originates outbound communications to consumers, and text messaging to prospective clients engages consumer protection and messaging regulation independently of anything about AI. Nothing published addresses responsibility for the content or the sending of those messages, nor for a wrongly disqualified inquiry, which remains the invisible failure recorded across this category. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.

No published position located on liability for AI output, warranty, service levels or remedy. The exposure is the same invisible one recorded on Gideon and is compounded here by scale: a wrongly scored inquiry is deprioritised or filtered, the prospective client is not contacted or is contacted late, they instruct elsewhere, and no party ever learns an error occurred. Unlike Gideon, this platform holds the attribution and conversion data that would in principle reveal systematic scoring failure, and nothing indicates that data is used to audit the model or surfaced to the customer for that purpose. A separate and more conventional exposure also applies: automated drip sequences send communications to prospective clients on the firm's behalf, and nothing addresses responsibility for what those communications say or for messaging errors. Checked the product material, the pricing material and independent review on 29 Aug 2026.

Named practice management integrations covering both major systems this buyer runs, plus the marketing and scheduling layer. Named: Clio and Filevine on the practice and case management side, Salesforce as the general CRM, Calendly for scheduling, and Google Analytics and Google My Business for traffic and listing attribution. Naming Filevine alongside Clio matters for this category, because Filevine is the system plaintiff and high volume consumer firms commonly run and it is named by only one other record in this category. The Google My Business connection is unusual and sensible for an intake product, since a substantial share of consumer legal inquiries originate from a local listing rather than from the firm's own site. Held at B rather than A because no integration depth is described for any named system, nothing states whether lead data flows one way or bidirectionally, no API documentation was located, and the integration set is a list rather than a described workflow, which is what separated Smith.ai and Lawmatics at A.

The most completely enumerated integration set in this category, spanning practice management, communications, payments, accounting, advertising and developer access. Named: native bidirectional sync with Clio Manage and MyCase, Microsoft 365 and Google Workspace for email and calendar, Twilio for SMS and call tracking, Zoom for video consultations, QuickBooks on higher tiers, LawPay, Google Ads and Facebook Ads for source attribution, Zapier and Make for the long tail, and a REST API on the Enterprise tier. Two elements lift this to A. Bidirectional sync with two named practice management systems is stronger than a one way feed, and independent review describes the specific completed workflow: converting a prospect creates a matter in Clio with contact information, intake notes and documents synced, eliminating duplicate entry between CRM and practice management. And the advertising platform integrations are what make the attribution reporting real, closing the loop from ad spend to signed client. Held short of perfection because the REST API is gated to the top tier and no API documentation was located.

Nothing located. No hosting provider is named, no region or data residency commitment is published, and no deployment options are described beyond the product being cloud based and embedded on a firm website. The platform holds prospective client chat transcripts, text message history and lead records, and routes text messaging through a carrier layer that is not identified, so neither the location of the data nor the parties handling the messaging can be determined from public material. Checked the vendor material, the directory listings and independent review on 29 Aug 2026.

Nothing located. No hosting provider is named, no region or data residency commitment is published, and no deployment options are described. The product is stated to be purpose built for United States law firms, which narrows the practical residency question relative to the multinational vendors elsewhere on this index, and it does not answer it: the platform holds prospective client contact data, intake responses and communications for firms whose own state privacy obligations attach to that material, and named integrations route data through Twilio, Google, Microsoft and the advertising platforms without any published statement about where any of it sits. Checked the product material, the pricing material, the integration descriptions and independent review on 29 Aug 2026.

No certification, attestation, trust centre or security page was located. No SOC 2 of either type, no ISO 27001, no named auditor, no penetration testing partner and no encryption statement were found across the pages read. Under the three tier test the artifact is absent rather than gated. SIX of six records in legal-intake-and-client-development now sit at D on this axis with no exception, which makes this the most uniform pattern in the category and, at six records, close to the strongest in the pull. One name remains before it can be published. The gap is material for a platform holding consumer chat transcripts and text message history on behalf of law firms whose own obligations attach to that material. Checked the vendor material, the blog, the directory listings, the site navigation and independent review on 29 Aug 2026.

No certification, attestation, trust centre or security page was located. No SOC 2 of either type, no ISO 27001, no named auditor, no penetration testing partner and no encryption statement were found across the pages read. Under the three tier test the artifact is absent rather than gated. FOUR records in legal-intake-and-client-development now sit at D on this axis: LawDroid, Gideon, Smith.ai and this one, with no exception so far. That is a category pattern forming and it is stated here rather than concluded, since three names remain. The gap is material for a platform holding a firm's entire prospective client database and running its client communications through named third party processors. Checked the product material, the pricing material, the site navigation and independent review on 29 Aug 2026.

Nothing located. No foundation model provider, model family or version is named, no distinction is drawn between proprietary and third party models, and no subprocessor list was found. The gap is wider than the model layer alone on this product: two way business texting necessarily runs through a messaging carrier or platform, and Live Call Connect necessarily routes through telephony infrastructure, and neither is identified, so a firm cannot determine which third parties carry its prospective clients' messages and calls. The vendor names six integration partners and no processor. Checked the vendor material, the directory listings, the integration descriptions and independent review on 29 Aug 2026.

Nothing located. No foundation model provider, model family or version is named for QualifyAI, no distinction is drawn between proprietary and third party models, and no subprocessor list was found. The absence is notable against the vendor's otherwise detailed integration disclosure: Twilio, Zoom, QuickBooks, LawPay, Google and Microsoft are all named as parties in the data path, so the vendor evidently does name third parties when it chooses to, and names none for the component that processes prospective client information to produce a score. A firm can determine who carries its text messages and cannot determine what evaluates its prospective clients. Checked the product material, the QualifyAI descriptions, the integration listings and independent review on 29 Aug 2026.

A specific entry price is published through independent channels and nothing above it is. Multiple independent software directories report a starting price of $80 per month, consistently across sources and with provider data stated as verified by their research teams, and one records that no free trial is available, which is a real commercial fact a buyer needs. An $80 entry point also places this at the accessible end of the category, well below the hybrid services and CRM platforms alongside it. What is absent: no tier structure, no unit of charge, no statement of what the entry price includes or what drives it up, and no indication of whether pricing scales by seats, conversations, leads or messaging volume, which for a product bundling chat, CRM and two way texting are materially different meters. Source basis recorded as Third Party Estimated because the figure comes from directory listings rather than a vendor pricing page located in this pass, and flagged as a correction candidate upward if one exists.

The structure is disclosed in unusual detail and no figure is published by the vendor. Published and consistent across independent sources: three named tiers of Essential, Premium and Enterprise, per user pricing, a three user minimum, annual contracts required, QualifyAI sold as an add on with separately priced credit bundles, Time and Billing as a further add on, SMS and MMS metered by usage, and stated feature gating by tier including QualifyAI being unavailable on the entry plan and the REST API restricted to Enterprise. A buyer therefore knows the shape of the bill, what drives it up and which capabilities require which tier, which is more structural disclosure than most of this index provides. What is absent is any number from the vendor. Independent reconstructions conflict materially, with one reporting $199 and $299 per month plans and another reporting custom pricing throughout, and conflicting third party figures are recorded as evidence that no authoritative published price exists rather than as a price. Source basis Third Party Estimated on that footing.

Practice coverage is claimed by volume and characterised by nothing else. The strongest statement is the prompt library: more than 1,400 custom prompts with pre built scripts for different legal practice areas, which is a quantified claim about breadth and implies the product ships with matter specific qualification logic rather than requiring a firm to author it. That is genuine coverage substance and is credited. What is absent is every boundary: no practice area is named, so a firm cannot tell whether its own is among those scripted, no jurisdiction is stated, and firm coverage is described only as law firms of all sizes, which is a claim that excludes nobody and therefore characterises nothing. Compare Lawmatics at B in this category, which names five practice areas and states both a floor and a ceiling on firm size. A number without a list is a scale claim rather than a coverage statement.

The most specifically characterised coverage in this category, on both firm profile and practice area. Firm coverage is stated with a floor and a ceiling rather than a vague target: solo to mid size United States firms of roughly three to fifty attorneys, with a hard three user minimum, and independent review is explicit that the product is a poor fit below that volume and that larger firms typically run different platforms. Naming who the product is not for is uncommon and is credited. Practice coverage is enumerated with named strong fit areas of personal injury, family law, criminal defence, immigration and estate planning, which share a common property the vendor implicitly targets, being high inquiry volume with conversion velocity mattering. Practice area templates are stated to ship out of the box. Held at B rather than A because jurisdiction is stated only as United States with no state level detail despite conflict checking and intake being state sensitive, and because the practice area characterisation comes substantially from independent review rather than from vendor material.

Silent. The quoted description is the product's core function as stated across independent directories, and it describes what the system does rather than what happens to what it collects. No statement in either direction was located on whether chat transcripts, text message threads, lead records or qualification outcomes are used to train or improve models. The platform holds this material durably by design, since it is a CRM as well as a chat widget, and two way business texting adds a communications archive alongside the transcripts. No privacy policy or data processing statement was located in the material read. The people in these conversations are prospective clients who are not the customer and cannot consent, object or ask. Recorded as silent, not as a negative commitment. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.

Silent, and the quoted description is why the silence is consequential. QualifyAI is stated to score inquiries on case fit and conversion likelihood, running against intake form responses and prior engagement signals, which means the model learns from what happened to previous inquiries. Nothing published states whether that learning is scoped to the individual firm or pooled across the vendor's customers, and the difference is material: a model improved by one firm's conversion history and then served to competing firms in the same practice area and geography is a different product from one confined to a tenant. No statement in either direction was located on whether contact records, intake responses or conversion outcomes are used to train or improve models, and no retention or deletion position exists. The people scored are prospective clients who are not the customer and cannot consent. Recorded as silent, not as a negative commitment. Checked the product material, the QualifyAI descriptions, the pricing material and independent review on 29 Aug 2026.

Not addressed. No retention period is published for chat transcripts, text message history, lead records or automated follow up sequences, and no deletion right is described. Retention is structural rather than incidental: the platform provides lead tracking, customer history and interaction tracking as named capabilities, all of which require durable storage, and follow up automation depends on a lead record persisting after the conversation ends. Nothing states what happens to records of prospective clients who never became clients, or to the database on termination. Checked the vendor material, the directory listings and independent review on 29 Aug 2026.

Not addressed. No retention period is published for intake form responses, contact records, communication history, QualifyAI scores or attribution data, and no deletion right is described. Retention is structural to the product rather than incidental: the platform is a CRM whose value depends on holding a firm's entire prospective and current client base over time, plan tiers are denominated in contact counts, and attribution reporting requires historical conversion data to persist. Nothing states what happens to records of prospective clients who never became clients, or to the whole database on termination of an annual contract. Checked the product material, the pricing material and independent review on 29 Aug 2026.

Not addressed. No permission model, access restriction or segregation description was located. The prospective client conflicts question that runs through this category applies unchanged: the chat captures a person's account of their legal problem and creates a lead record before any conflicts check, and nothing describes whether that record is quarantined, restricted within the firm, or immediately visible to whoever is working the queue. No conflict checking feature is named on this product, unlike Lawmatics which names one and Perspective AI which describes capturing the details a check needs and routing to staff to confirm. Nothing addresses segregation between customers either. Checked the vendor material, the directory listings and independent review on 29 Aug 2026.

Claimed and not documented, and this is the only record in the category with a named feature addressing the adjacent professional obligation. Advanced conflict checking is stated as a Premium tier feature, which is a direct answer to one half of the prospective client problem that LawDroid, Gideon and Smith.ai leave entirely open: a firm can at least check whether an inbound inquiry conflicts before proceeding. That is real and is why this records as claimed rather than not addressed. What is not documented is anything about how it works or what surrounds it: no description of what the check runs against, whether it operates before or after an inquiry is routed and scored, whether intake data is quarantined pending the check, or whether access to prospective client records can be restricted within a firm. Nothing addresses segregation between customers either. A feature named on a pricing page is a claim until its mechanics are published.

Not addressed. No government or law enforcement request clause, no commitment to notify a customer before producing their data, and no transparency report were located. The vendor holds chat transcripts and two way text message threads in which prospective clients describe legal problems, and the messaging path traverses an unidentified carrier layer, so a request could reach either the vendor or a processor the firm cannot name. Nothing published addresses any of it. Checked the vendor material, the directory listings and the site navigation on 29 Aug 2026.

Not addressed. No government or law enforcement request clause, no commitment to notify a customer before producing their data, and no transparency report were located. The vendor holds a firm's complete prospective and current client contact database together with intake responses and communication history, in named strong fit practice areas including criminal defence and immigration where a prospective client's own intake responses could be adverse to their interests if produced, and the data path additionally traverses named third parties including Twilio and the advertising platforms. Nothing published addresses requests to the vendor or to any of them. Checked the product material, the integration listings, the pricing material and the site navigation on 29 Aug 2026.

Not addressed, and largely inapplicable with one live residue. The platform has no primary law corpus: the conversational content is the vendor's library of more than 1,400 authored prompts plus whatever the firm configures, so the substance is authored rather than retrieved. The residue is what the AI layer was built on. Natural language processing and language detection are stated capabilities and both are learned behaviours, and nothing published states what corpus supports either, whether the prompt library was derived from prior customer conversations, or whether qualification logic reflects aggregated intake data across firms. Checked the vendor material, the blog, the directory listings and independent review on 29 Aug 2026.

Not addressed, and inapplicable in the usual sense with a live residue. The platform has no primary law corpus: intake forms, workflows and campaigns are built by the firm, so the substantive content is customer supplied. The residue is what QualifyAI was fitted on. Scoring conversion likelihood requires a population of prior inquiries and their outcomes, and nothing published states whether that population is the individual firm's own history, aggregated across the vendor's customer base, or supplemented externally, nor what practice areas, geographies or time period it covers. A score is only as meaningful as the population behind it, and for a model explicitly using geography as an input the composition of that population determines what the score actually encodes. Checked the QualifyAI descriptions, the product material and independent review on 29 Aug 2026.

Not addressed, and inapplicable on the facts. Intaker conducts intake chat, manages leads and sends follow up communications, and produces no legal research or citation to authority, so there is nothing for a citator to check. Recorded as a scope fact rather than a disclosure failure, consistent with the treatment on Gideon, Smith.ai, Lawmatics and Perspective AI in this category. LawDroid remains the only record in this category where the signal is live. Checked the vendor material and the directory listings on 29 Aug 2026.

Not addressed, and inapplicable on the facts. Lawmatics performs intake, CRM, marketing automation and document generation from firm supplied templates, and produces no legal research or citation to authority, so there is nothing for a citator to check. Recorded as a scope fact rather than a disclosure failure, consistent with the treatment on Gideon and Smith.ai in this category and on Tavrn, DigitalOwl, Legal Tracker and Mitratech elsewhere. LawDroid remains the only record in this category where the signal is live. Checked the product material and independent review on 29 Aug 2026.

Not addressed, and the scripted architecture makes the unanswered case specific rather than general. A chat running on more than 1,400 authored prompts will meet inquiries that match none of them, and nothing published describes what happens then: whether the system says it cannot help, offers a human, falls back to a generic response, or selects the nearest prompt and answers something adjacent to the question. Language detection compounds it, since a misdetected language produces a response in the wrong one and nothing states whether low confidence detection is handled differently. The one mechanism that partially answers this is graded on the Autonomy axis rather than here: Live Call Connect lets a conversation escalate to a phone transfer, which is a route out of a stuck exchange, and nothing states whether the system offers it when it cannot proceed or only when the prospective client asks.

Not addressed, and the gap sits on the model's low confidence cases rather than on generated text. QualifyAI returns a score, and nothing published describes what happens at the margin: whether a borderline inquiry is flagged for human review rather than filtered, whether a confidence band accompanies the score, whether the model declines to score an inquiry it has too little information about, or whether a sparse intake form simply produces a low score indistinguishable from a genuine poor fit. That last case is the concerning one, because an inquiry from someone who filled in little is not the same as an inquiry that does not fit, and a scoring system that cannot distinguish them will systematically deprioritise the least articulate. Independent review describes the feature as filtering noise, which is the language of removal rather than of flagging uncertainty. Checked the QualifyAI descriptions, the product material and independent review on 29 Aug 2026.

None located, with the instrument named. General web searches combining the vendor and product names with court, order, sanction and complaint terms returned nothing on 29 Aug 2026, and no named docket database, court record tracker or state consumer protection register was searched. Recorded as a statement about what this search found, not as a clearance. The exposure shape is not fabricated citations, since no legal authority is generated: the analogous adverse findings would be a complaint arising from an automated intake exchange, or a dispute over automated text messages sent to prospective clients under messaging and consumer protection regulation, and neither would surface through a citation focused search.

None located, with the instrument named. General web searches combining the vendor and product names with court, order, sanction and complaint terms returned nothing on 29 Aug 2026, and no named docket database, court record tracker or state consumer protection register was searched. Recorded as a statement about what this search found, not as a clearance. The exposure shape is not fabricated citations, since no legal authority is generated: the analogous adverse findings would be a bar complaint or claim arising from automated client communications, or a dispute over marketing messages sent to prospective clients under telephone and messaging regulation, neither of which a citation focused search would surface.

Not addressed. No named ethics opinion, no ABA Formal Opinion 512, no state bar guidance and no engagement with professional conduct rules was located, despite the vendor publishing a blog aimed at law firms comparing chat options and advising on intake practice. Two aspects of this product engage professional rules directly and neither is addressed: automated outbound email and text follow up to prospective clients falls under lawyer advertising and solicitation rules that vary materially by state, and the video component presents a named attorney inside an automated conversation, which engages rules on communications about a lawyer's services. Sixth of six records in this category at this value, unbroken with one name remaining. Checked the blog, the vendor material, the directory listings and the site navigation on 29 Aug 2026.

Not addressed, and the omission is broader here than the AI question alone. No named ethics opinion, no ABA Formal Opinion 512, no state bar guidance and no engagement with professional conduct rules was located. Beyond AI, this platform runs automated marketing and drip campaigns to prospective clients on a firm's behalf, and lawyer advertising and solicitation are among the most heavily regulated areas of professional conduct with rules varying materially by state, and the vendor states it is purpose built for United States firms across all of them. A marketing automation platform for lawyers that engages no advertising rule is a conspicuous gap independent of anything about the models. Fourth of four records in this category at this value. Checked the product material, the pricing material, the resource material and independent review on 29 Aug 2026.

Savings claims only, and framed as revenue rather than cost. The vendor's stated purpose for its workflow sequences and automation tools is to help law firms maximise revenue, and the positioning throughout is signing more cases with less effort and improving lead conversion, with independent directory material noting that buyers evaluate total cost on lead conversion efficiency and automation depth rather than on subscription price. Those are claims about firm revenue with no figure, methodology or baseline attached, and no customer outcome number was located. Nothing appears on the client's side of the equation: no position on whether an automated intake exchange or an outbound follow up sequence is disclosed to the prospective client as machine generated, and no record showing which portion of a first interaction was automated. Checked the vendor material, the directory listings and independent review on 29 Aug 2026.

Not addressed. No time saving figure, conversion improvement figure or return on investment claim was located in vendor material, which means there is not even a savings claim to record and is the second time in this category that has occurred after Gideon. The omission is striking on this vendor specifically because attribution reporting is a headline feature: the platform exists in part to measure which marketing spend produces signed clients, so it holds precisely the data that would evidence its own return, and none is published. Nothing appears on the client's side either: no position on whether platform or QualifyAI credit cost is treated as firm overhead or recovered, and no record showing which portion of an intake interaction was automated. Checked the product material, the pricing material and independent review on 29 Aug 2026.

Not addressed. No trust centre, security page, named certification, subprocessor list, named model provider, data processing agreement or documentation request route was located, so a firm has nothing to forward and no destination to point a client toward. The gap extends past the model layer here: a firm asked which third parties handle its prospective clients' text messages and phone transfers could not answer, because neither the messaging carrier nor the telephony provider behind Live Call Connect is identified anywhere. Sixth of six records in this category at this value. Checked the vendor material, the blog, the directory listings and the site navigation on 29 Aug 2026.

Not addressed. No trust centre, security page, named certification, subprocessor list, named model provider, data processing agreement or documentation request route was located, so a firm has nothing to forward and no destination to point a client toward. The gap is compounded by the integration depth graded highly elsewhere on this record: named third parties including Twilio, Google, Microsoft, Zoom, QuickBooks and the advertising platforms sit in the data path, which is effectively a partial subprocessor list assembled from marketing material rather than published as one, and a firm asked who processes its client data would be reconstructing the answer from an integrations page. Fourth of four records in this category at this value. Checked the product material, the integration listings, the pricing material and the site navigation on 29 Aug 2026.

Not addressed. Nothing indicates that output records which model produced it, no human verification record is captured, and no export or audit artifact was located. The platform does retain substantial raw material by design, with customer history and interaction tracking named as capabilities and chat transcripts and text threads held in the CRM, so the evidence of what was said exists in principle. What is absent is any statement that it is producible as a record, or that it distinguishes an automated response from a human one, which on this product is the load bearing distinction: the video component and Live Call Connect mean a single conversation can contain automated prompts, a recorded attorney video and a live human call, and nothing describes a record showing which was which. The forum in this category is a bar complaint, a fee dispute or a malpractice claim rather than a filing.

Not addressed. Nothing indicates that output records which model produced it, no human verification record is captured, and no export or audit artifact was located. The platform holds extensive records by design, being contact history, intake responses, communication logs and attribution data, so raw material exists in quantity, and nothing describes it as producible as an evidentiary artifact or as recording whether a qualification decision was made by QualifyAI or by a person. The forum in this category is a bar complaint, a fee dispute or a malpractice claim rather than a filing, and the specific record that would matter here is which inquiries the system scored low and what became of them, which is exactly what no described export captures. Checked the product material, the QualifyAI descriptions, the pricing material and independent review on 29 Aug 2026.